---
_id: '25210'
author:
- first_name: Waqas
  full_name: Ali, Waqas
  last_name: Ali
- first_name: Muhammad
  full_name: Saleem, Muhammad
  last_name: Saleem
- first_name: Bin
  full_name: Yao, Bin
  last_name: Yao
- first_name: Aidan
  full_name: Hogan, Aidan
  last_name: Hogan
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: Ali W, Saleem M, Yao B, Hogan A, Ngonga Ngomo A-C. A Survey of RDF Stores \&#38;
    SPARQL Engines for Querying Knowledge Graphs. <i>CoRR</i>. 2021;abs/2102.13027.
  apa: Ali, W., Saleem, M., Yao, B., Hogan, A., &#38; Ngonga Ngomo, A.-C. (2021).
    A Survey of RDF Stores \&#38; SPARQL Engines for Querying Knowledge Graphs. <i>CoRR</i>,
    <i>abs/2102.13027</i>.
  bibtex: '@article{Ali_Saleem_Yao_Hogan_Ngonga Ngomo_2021, title={A Survey of RDF
    Stores \&#38; SPARQL Engines for Querying Knowledge Graphs}, volume={abs/2102.13027},
    journal={CoRR}, author={Ali, Waqas and Saleem, Muhammad and Yao, Bin and Hogan,
    Aidan and Ngonga Ngomo, Axel-Cyrille}, year={2021} }'
  chicago: Ali, Waqas, Muhammad Saleem, Bin Yao, Aidan Hogan, and Axel-Cyrille Ngonga
    Ngomo. “A Survey of RDF Stores \&#38; SPARQL Engines for Querying Knowledge Graphs.”
    <i>CoRR</i> abs/2102.13027 (2021).
  ieee: W. Ali, M. Saleem, B. Yao, A. Hogan, and A.-C. Ngonga Ngomo, “A Survey of
    RDF Stores \&#38; SPARQL Engines for Querying Knowledge Graphs,” <i>CoRR</i>,
    vol. abs/2102.13027, 2021.
  mla: Ali, Waqas, et al. “A Survey of RDF Stores \&#38; SPARQL Engines for Querying
    Knowledge Graphs.” <i>CoRR</i>, vol. abs/2102.13027, 2021.
  short: W. Ali, M. Saleem, B. Yao, A. Hogan, A.-C. Ngonga Ngomo, CoRR abs/2102.13027
    (2021).
date_created: 2021-10-01T06:50:50Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: A Survey of RDF Stores \& SPARQL Engines for Querying Knowledge Graphs
type: journal_article
user_id: '65716'
volume: abs/2102.13027
year: '2021'
...
---
_id: '25211'
author:
- first_name: Daniel
  full_name: Vollmers, Daniel
  last_name: Vollmers
- first_name: Rricha
  full_name: Jalota, Rricha
  id: '69526'
  last_name: Jalota
- first_name: Diego
  full_name: Moussallem, Diego
  id: '71635'
  last_name: Moussallem
- first_name: Hardik
  full_name: Topiwala, Hardik
  last_name: Topiwala
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
- first_name: Ricardo
  full_name: Usbeck, Ricardo
  last_name: Usbeck
citation:
  ama: Vollmers D, Jalota R, Moussallem D, Topiwala H, Ngonga Ngomo A-C, Usbeck R.
    Knowledge Graph Question Answering using Graph-Pattern Isomorphism. <i>CoRR</i>.
    2021;abs/2103.06752.
  apa: Vollmers, D., Jalota, R., Moussallem, D., Topiwala, H., Ngonga Ngomo, A.-C.,
    &#38; Usbeck, R. (2021). Knowledge Graph Question Answering using Graph-Pattern
    Isomorphism. <i>CoRR</i>, <i>abs/2103.06752</i>.
  bibtex: '@article{Vollmers_Jalota_Moussallem_Topiwala_Ngonga Ngomo_Usbeck_2021,
    title={Knowledge Graph Question Answering using Graph-Pattern Isomorphism}, volume={abs/2103.06752},
    journal={CoRR}, author={Vollmers, Daniel and Jalota, Rricha and Moussallem, Diego
    and Topiwala, Hardik and Ngonga Ngomo, Axel-Cyrille and Usbeck, Ricardo}, year={2021}
    }'
  chicago: Vollmers, Daniel, Rricha Jalota, Diego Moussallem, Hardik Topiwala, Axel-Cyrille
    Ngonga Ngomo, and Ricardo Usbeck. “Knowledge Graph Question Answering Using Graph-Pattern
    Isomorphism.” <i>CoRR</i> abs/2103.06752 (2021).
  ieee: D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, and
    R. Usbeck, “Knowledge Graph Question Answering using Graph-Pattern Isomorphism,”
    <i>CoRR</i>, vol. abs/2103.06752, 2021.
  mla: Vollmers, Daniel, et al. “Knowledge Graph Question Answering Using Graph-Pattern
    Isomorphism.” <i>CoRR</i>, vol. abs/2103.06752, 2021.
  short: D. Vollmers, R. Jalota, D. Moussallem, H. Topiwala, A.-C. Ngonga Ngomo, R.
    Usbeck, CoRR abs/2103.06752 (2021).
date_created: 2021-10-01T06:51:45Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: Knowledge Graph Question Answering using Graph-Pattern Isomorphism
type: journal_article
user_id: '65716'
volume: abs/2103.06752
year: '2021'
...
---
_id: '25213'
author:
- first_name: Arnab
  full_name: Sharma, Arnab
  id: '67200'
  last_name: Sharma
- first_name: Caglar
  full_name: Demir, Caglar
  id: '43817'
  last_name: Demir
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
- first_name: Heike
  full_name: Wehrheim, Heike
  id: '573'
  last_name: Wehrheim
citation:
  ama: Sharma A, Demir C, Ngonga Ngomo A-C, Wehrheim H. MLCheck- Property-Driven Testing
    of Machine Learning Models. <i>CoRR</i>. 2021;abs/2105.00741.
  apa: Sharma, A., Demir, C., Ngonga Ngomo, A.-C., &#38; Wehrheim, H. (2021). MLCheck-
    Property-Driven Testing of Machine Learning Models. <i>CoRR</i>, <i>abs/2105.00741</i>.
  bibtex: '@article{Sharma_Demir_Ngonga Ngomo_Wehrheim_2021, title={MLCheck- Property-Driven
    Testing of Machine Learning Models}, volume={abs/2105.00741}, journal={CoRR},
    author={Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille and Wehrheim,
    Heike}, year={2021} }'
  chicago: Sharma, Arnab, Caglar Demir, Axel-Cyrille Ngonga Ngomo, and Heike Wehrheim.
    “MLCheck- Property-Driven Testing of Machine Learning Models.” <i>CoRR</i> abs/2105.00741
    (2021).
  ieee: A. Sharma, C. Demir, A.-C. Ngonga Ngomo, and H. Wehrheim, “MLCheck- Property-Driven
    Testing of Machine Learning Models,” <i>CoRR</i>, vol. abs/2105.00741, 2021.
  mla: Sharma, Arnab, et al. “MLCheck- Property-Driven Testing of Machine Learning
    Models.” <i>CoRR</i>, vol. abs/2105.00741, 2021.
  short: A. Sharma, C. Demir, A.-C. Ngonga Ngomo, H. Wehrheim, CoRR abs/2105.00741
    (2021).
date_created: 2021-10-01T06:54:10Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: MLCheck- Property-Driven Testing of Machine Learning Models
type: journal_article
user_id: '65716'
volume: abs/2105.00741
year: '2021'
...
---
_id: '25214'
author:
- first_name: Adrian
  full_name: Wilke, Adrian
  id: '9101'
  last_name: Wilke
  orcid: 0000-0002-6575-807X
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: Wilke A, Ngonga Ngomo A-C. Open Data Portal Germany (OPAL) Projektergebnisse.
    <i>CoRR</i>. 2021;abs/2105.03161.
  apa: Wilke, A., &#38; Ngonga Ngomo, A.-C. (2021). Open Data Portal Germany (OPAL)
    Projektergebnisse. <i>CoRR</i>, <i>abs/2105.03161</i>.
  bibtex: '@article{Wilke_Ngonga Ngomo_2021, title={Open Data Portal Germany (OPAL)
    Projektergebnisse}, volume={abs/2105.03161}, journal={CoRR}, author={Wilke, Adrian
    and Ngonga Ngomo, Axel-Cyrille}, year={2021} }'
  chicago: Wilke, Adrian, and Axel-Cyrille Ngonga Ngomo. “Open Data Portal Germany
    (OPAL) Projektergebnisse.” <i>CoRR</i> abs/2105.03161 (2021).
  ieee: A. Wilke and A.-C. Ngonga Ngomo, “Open Data Portal Germany (OPAL) Projektergebnisse,”
    <i>CoRR</i>, vol. abs/2105.03161, 2021.
  mla: Wilke, Adrian, and Axel-Cyrille Ngonga Ngomo. “Open Data Portal Germany (OPAL)
    Projektergebnisse.” <i>CoRR</i>, vol. abs/2105.03161, 2021.
  short: A. Wilke, A.-C. Ngonga Ngomo, CoRR abs/2105.03161 (2021).
date_created: 2021-10-01T06:54:56Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: Open Data Portal Germany (OPAL) Projektergebnisse
type: journal_article
user_id: '65716'
volume: abs/2105.03161
year: '2021'
...
---
_id: '25215'
author:
- first_name: Caglar
  full_name: Demir, Caglar
  id: '43817'
  last_name: Demir
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: Demir C, Ngonga Ngomo A-C. Out-of-Vocabulary Entities in Link Prediction. <i>CoRR</i>.
    2021;abs/2105.12524.
  apa: Demir, C., &#38; Ngonga Ngomo, A.-C. (2021). Out-of-Vocabulary Entities in
    Link Prediction. <i>CoRR</i>, <i>abs/2105.12524</i>.
  bibtex: '@article{Demir_Ngonga Ngomo_2021, title={Out-of-Vocabulary Entities in
    Link Prediction}, volume={abs/2105.12524}, journal={CoRR}, author={Demir, Caglar
    and Ngonga Ngomo, Axel-Cyrille}, year={2021} }'
  chicago: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Out-of-Vocabulary Entities
    in Link Prediction.” <i>CoRR</i> abs/2105.12524 (2021).
  ieee: C. Demir and A.-C. Ngonga Ngomo, “Out-of-Vocabulary Entities in Link Prediction,”
    <i>CoRR</i>, vol. abs/2105.12524, 2021.
  mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Out-of-Vocabulary Entities in
    Link Prediction.” <i>CoRR</i>, vol. abs/2105.12524, 2021.
  short: C. Demir, A.-C. Ngonga Ngomo, CoRR abs/2105.12524 (2021).
date_created: 2021-10-01T06:55:36Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: Out-of-Vocabulary Entities in Link Prediction
type: journal_article
user_id: '65716'
volume: abs/2105.12524
year: '2021'
...
---
_id: '25217'
author:
- first_name: Caglar
  full_name: Demir, Caglar
  id: '43817'
  last_name: Demir
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: Demir C, Ngonga Ngomo A-C. DRILL- Deep Reinforcement Learning for Refinement
    Operators in ALC. <i>CoRR</i>. 2021;abs/2106.15373.
  apa: Demir, C., &#38; Ngonga Ngomo, A.-C. (2021). DRILL- Deep Reinforcement Learning
    for Refinement Operators in ALC. <i>CoRR</i>, <i>abs/2106.15373</i>.
  bibtex: '@article{Demir_Ngonga Ngomo_2021, title={DRILL- Deep Reinforcement Learning
    for Refinement Operators in ALC}, volume={abs/2106.15373}, journal={CoRR}, author={Demir,
    Caglar and Ngonga Ngomo, Axel-Cyrille}, year={2021} }'
  chicago: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “DRILL- Deep Reinforcement
    Learning for Refinement Operators in ALC.” <i>CoRR</i> abs/2106.15373 (2021).
  ieee: C. Demir and A.-C. Ngonga Ngomo, “DRILL- Deep Reinforcement Learning for Refinement
    Operators in ALC,” <i>CoRR</i>, vol. abs/2106.15373, 2021.
  mla: Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “DRILL- Deep Reinforcement Learning
    for Refinement Operators in ALC.” <i>CoRR</i>, vol. abs/2106.15373, 2021.
  short: C. Demir, A.-C. Ngonga Ngomo, CoRR abs/2106.15373 (2021).
date_created: 2021-10-01T06:56:48Z
date_updated: 2022-01-06T06:56:55Z
department:
- _id: '574'
language:
- iso: eng
publication: CoRR
status: public
title: DRILL- Deep Reinforcement Learning for Refinement Operators in ALC
type: journal_article
user_id: '65716'
volume: abs/2106.15373
year: '2021'
...
---
_id: '25331'
author:
- first_name: Marcus
  full_name: Brinkmann, Marcus
  last_name: Brinkmann
- first_name: Christian
  full_name: Dresen, Christian
  last_name: Dresen
- first_name: Robert
  full_name: Merget, Robert
  last_name: Merget
- first_name: Damian
  full_name: Poddebniak, Damian
  last_name: Poddebniak
- first_name: Jens
  full_name: Müller, Jens
  last_name: Müller
- first_name: Juraj
  full_name: Somorovsky, Juraj
  id: '83504'
  last_name: Somorovsky
  orcid: 0000-0002-3593-7720
- first_name: Jörg
  full_name: Schwenk, Jörg
  last_name: Schwenk
- first_name: Sebastian
  full_name: Schinzel, Sebastian
  last_name: Schinzel
citation:
  ama: 'Brinkmann M, Dresen C, Merget R, et al. ALPACA: Application Layer Protocol
    Confusion - Analyzing and Mitigating Cracks in TLS Authentication. In: <i>30th
    {USENIX} Security Symposium ({USENIX} Security 21)</i>. {USENIX} Association;
    2021:4293-4310.'
  apa: 'Brinkmann, M., Dresen, C., Merget, R., Poddebniak, D., Müller, J., Somorovsky,
    J., Schwenk, J., &#38; Schinzel, S. (2021). ALPACA: Application Layer Protocol
    Confusion - Analyzing and Mitigating Cracks in TLS Authentication. <i>30th {USENIX}
    Security Symposium ({USENIX} Security 21)</i>, 4293–4310.'
  bibtex: '@inproceedings{Brinkmann_Dresen_Merget_Poddebniak_Müller_Somorovsky_Schwenk_Schinzel_2021,
    title={ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating
    Cracks in TLS Authentication}, booktitle={30th {USENIX} Security Symposium ({USENIX}
    Security 21)}, publisher={{USENIX} Association}, author={Brinkmann, Marcus and
    Dresen, Christian and Merget, Robert and Poddebniak, Damian and Müller, Jens and
    Somorovsky, Juraj and Schwenk, Jörg and Schinzel, Sebastian}, year={2021}, pages={4293–4310}
    }'
  chicago: 'Brinkmann, Marcus, Christian Dresen, Robert Merget, Damian Poddebniak,
    Jens Müller, Juraj Somorovsky, Jörg Schwenk, and Sebastian Schinzel. “ALPACA:
    Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS
    Authentication.” In <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>,
    4293–4310. {USENIX} Association, 2021.'
  ieee: 'M. Brinkmann <i>et al.</i>, “ALPACA: Application Layer Protocol Confusion
    - Analyzing and Mitigating Cracks in TLS Authentication,” in <i>30th {USENIX}
    Security Symposium ({USENIX} Security 21)</i>, 2021, pp. 4293–4310.'
  mla: 'Brinkmann, Marcus, et al. “ALPACA: Application Layer Protocol Confusion -
    Analyzing and Mitigating Cracks in TLS Authentication.” <i>30th {USENIX} Security
    Symposium ({USENIX} Security 21)</i>, {USENIX} Association, 2021, pp. 4293–310.'
  short: 'M. Brinkmann, C. Dresen, R. Merget, D. Poddebniak, J. Müller, J. Somorovsky,
    J. Schwenk, S. Schinzel, in: 30th {USENIX} Security Symposium ({USENIX} Security
    21), {USENIX} Association, 2021, pp. 4293–4310.'
date_created: 2021-10-04T18:53:47Z
date_updated: 2022-01-06T06:57:01Z
department:
- _id: '632'
language:
- iso: eng
page: 4293-4310
publication: 30th {USENIX} Security Symposium ({USENIX} Security 21)
publication_identifier:
  isbn:
  - 978-1-939133-24-3
publisher: '{USENIX} Association'
status: public
title: 'ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks
  in TLS Authentication'
type: conference
user_id: '83504'
year: '2021'
...
---
_id: '25332'
author:
- first_name: Robert
  full_name: Merget, Robert
  last_name: Merget
- first_name: Marcus
  full_name: Brinkmann, Marcus
  last_name: Brinkmann
- first_name: Nimrod
  full_name: Aviram, Nimrod
  last_name: Aviram
- first_name: Juraj
  full_name: Somorovsky, Juraj
  id: '83504'
  last_name: Somorovsky
  orcid: 0000-0002-3593-7720
- first_name: Johannes
  full_name: Mittmann, Johannes
  last_name: Mittmann
- first_name: Jörg
  full_name: Schwenk, Jörg
  last_name: Schwenk
citation:
  ama: 'Merget R, Brinkmann M, Aviram N, Somorovsky J, Mittmann J, Schwenk J. Raccoon
    Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E). In:
    <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>. {USENIX} Association;
    2021:213-230.'
  apa: 'Merget, R., Brinkmann, M., Aviram, N., Somorovsky, J., Mittmann, J., &#38;
    Schwenk, J. (2021). Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles
    in TLS-DH(E). <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>,
    213–230.'
  bibtex: '@inproceedings{Merget_Brinkmann_Aviram_Somorovsky_Mittmann_Schwenk_2021,
    title={Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in
    TLS-DH(E)}, booktitle={30th {USENIX} Security Symposium ({USENIX} Security 21)},
    publisher={{USENIX} Association}, author={Merget, Robert and Brinkmann, Marcus
    and Aviram, Nimrod and Somorovsky, Juraj and Mittmann, Johannes and Schwenk, Jörg},
    year={2021}, pages={213–230} }'
  chicago: 'Merget, Robert, Marcus Brinkmann, Nimrod Aviram, Juraj Somorovsky, Johannes
    Mittmann, and Jörg Schwenk. “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles
    in TLS-DH(E).” In <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>,
    213–30. {USENIX} Association, 2021.'
  ieee: 'R. Merget, M. Brinkmann, N. Aviram, J. Somorovsky, J. Mittmann, and J. Schwenk,
    “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E),”
    in <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 2021, pp. 213–230.'
  mla: 'Merget, Robert, et al. “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles
    in TLS-DH(E).” <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>,
    {USENIX} Association, 2021, pp. 213–30.'
  short: 'R. Merget, M. Brinkmann, N. Aviram, J. Somorovsky, J. Mittmann, J. Schwenk,
    in: 30th {USENIX} Security Symposium ({USENIX} Security 21), {USENIX} Association,
    2021, pp. 213–230.'
date_created: 2021-10-04T18:55:36Z
date_updated: 2022-01-06T06:57:01Z
department:
- _id: '632'
language:
- iso: eng
page: 213-230
publication: 30th {USENIX} Security Symposium ({USENIX} Security 21)
publication_identifier:
  isbn:
  - 978-1-939133-24-3
publisher: '{USENIX} Association'
status: public
title: 'Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E)'
type: conference
user_id: '83504'
year: '2021'
...
---
_id: '25521'
citation:
  ama: 'Schulte C, A. Becker B, Divitini M, Barendsen E, eds. <i>ITiCSE 2021: 26th
    ACM Conference on Innovation and Technology in Computer Science Education, Virtual
    Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM; 2021.
    doi:<a href="https://doi.org/10.1145/3456565">10.1145/3456565</a>'
  apa: 'Schulte, C., A. Becker, B., Divitini, M., &#38; Barendsen, E. (Eds.). (2021).
    <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science
    Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>.
    ACM. <a href="https://doi.org/10.1145/3456565">https://doi.org/10.1145/3456565</a>'
  bibtex: '@book{Schulte_A. Becker_Divitini_Barendsen_2021, title={ITiCSE 2021: 26th
    ACM Conference on Innovation and Technology in Computer Science Education, Virtual
    Event, Germany, June 26 - July 1, 2021 - Working Group Reports}, DOI={<a href="https://doi.org/10.1145/3456565">10.1145/3456565</a>},
    publisher={ACM}, year={2021} }'
  chicago: 'Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik Barendsen,
    eds. <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
    Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group
    Reports</i>. ACM, 2021. <a href="https://doi.org/10.1145/3456565">https://doi.org/10.1145/3456565</a>.'
  ieee: 'C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., <i>ITiCSE
    2021: 26th ACM Conference on Innovation and Technology in Computer Science Education,
    Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports</i>. ACM,
    2021.'
  mla: 'Schulte, Carsten, et al., editors. <i>ITiCSE 2021: 26th ACM Conference on
    Innovation and Technology in Computer Science Education, Virtual Event, Germany,
    June 26 - July 1, 2021 - Working Group Reports</i>. ACM, 2021, doi:<a href="https://doi.org/10.1145/3456565">10.1145/3456565</a>.'
  short: 'C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021:
    26th ACM Conference on Innovation and Technology in Computer Science Education,
    Virtual Event, Germany, June 26 - July 1, 2021 - Working Group Reports, ACM, 2021.'
date_created: 2021-10-05T13:59:52Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3456565
editor:
- first_name: Carsten
  full_name: Schulte, Carsten
  id: '60311'
  last_name: Schulte
- first_name: Brett
  full_name: A. Becker, Brett
  last_name: A. Becker
- first_name: Monica
  full_name: Divitini, Monica
  last_name: Divitini
- first_name: Erik
  full_name: Barendsen, Erik
  last_name: Barendsen
language:
- iso: eng
publication_identifier:
  isbn:
  - 978-1-4503-8397-4
publisher: ACM
status: public
title: 'ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
  Science Education, Virtual Event, Germany, June 26 - July 1, 2021 - Working Group
  Reports'
type: conference_editor
user_id: '21145'
year: '2021'
...
---
_id: '25522'
citation:
  ama: 'Schulte C, A. Becker B, Divitini M, Barendsen E, eds. <i>ITiCSE 2021: 26th
    ACM Conference on Innovation and Technology in Computer Science Education, Virtual
    Event, Germany, June 26 - July 1, 2021</i>. ACM; 2021. doi:<a href="https://doi.org/10.1145/3430665">10.1145/3430665</a>'
  apa: 'Schulte, C., A. Becker, B., Divitini, M., &#38; Barendsen, E. (Eds.). (2021).
    <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer Science
    Education, Virtual Event, Germany, June 26 - July 1, 2021</i>. ACM. <a href="https://doi.org/10.1145/3430665">https://doi.org/10.1145/3430665</a>'
  bibtex: '@book{Schulte_A. Becker_Divitini_Barendsen_2021, title={ITiCSE 2021: 26th
    ACM Conference on Innovation and Technology in Computer Science Education, Virtual
    Event, Germany, June 26 - July 1, 2021}, DOI={<a href="https://doi.org/10.1145/3430665">10.1145/3430665</a>},
    publisher={ACM}, year={2021} }'
  chicago: 'Schulte, Carsten, Brett A. Becker, Monica Divitini, and Erik Barendsen,
    eds. <i>ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
    Science Education, Virtual Event, Germany, June 26 - July 1, 2021</i>. ACM, 2021.
    <a href="https://doi.org/10.1145/3430665">https://doi.org/10.1145/3430665</a>.'
  ieee: 'C. Schulte, B. A. Becker, M. Divitini, and E. Barendsen, Eds., <i>ITiCSE
    2021: 26th ACM Conference on Innovation and Technology in Computer Science Education,
    Virtual Event, Germany, June 26 - July 1, 2021</i>. ACM, 2021.'
  mla: 'Schulte, Carsten, et al., editors. <i>ITiCSE 2021: 26th ACM Conference on
    Innovation and Technology in Computer Science Education, Virtual Event, Germany,
    June 26 - July 1, 2021</i>. ACM, 2021, doi:<a href="https://doi.org/10.1145/3430665">10.1145/3430665</a>.'
  short: 'C. Schulte, B. A. Becker, M. Divitini, E. Barendsen, eds., ITiCSE 2021:
    26th ACM Conference on Innovation and Technology in Computer Science Education,
    Virtual Event, Germany, June 26 - July 1, 2021, ACM, 2021.'
date_created: 2021-10-05T14:02:09Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3430665
editor:
- first_name: Carsten
  full_name: Schulte, Carsten
  id: '60311'
  last_name: Schulte
- first_name: Brett
  full_name: A. Becker, Brett
  last_name: A. Becker
- first_name: Monica
  full_name: Divitini, Monica
  last_name: Divitini
- first_name: Erik
  full_name: Barendsen, Erik
  last_name: Barendsen
language:
- iso: eng
publication_identifier:
  isbn:
  - 978-1-4503-8214-4
publisher: ACM
status: public
title: 'ITiCSE 2021: 26th ACM Conference on Innovation and Technology in Computer
  Science Education, Virtual Event, Germany, June 26 - July 1, 2021'
type: conference_editor
user_id: '21145'
year: '2021'
...
---
_id: '25525'
author:
- first_name: Gregor
  full_name: Große-Bölting, Gregor
  last_name: Große-Bölting
- first_name: Dietrich Karl-Heinz
  full_name: Gerstenberger, Dietrich Karl-Heinz
  id: '65294'
  last_name: Gerstenberger
- first_name: Lara
  full_name: Gildehaus, Lara
  last_name: Gildehaus
- first_name: Andreas
  full_name: Mühling, Andreas
  last_name: Mühling
- first_name: Carsten
  full_name: Schulte, Carsten
  id: '60311'
  last_name: Schulte
citation:
  ama: 'Große-Bölting G, Gerstenberger DK-H, Gildehaus L, Mühling A, Schulte C. Identity
    in K-12 Computer Education Research: A Systematic Literature Review. In: J. Ko
    A, Vahrenhold J, McCauley R, Hauswirth M, eds. <i>ICER 2021: ACM Conference on
    International Computing Education Research, Virtual Event, USA, August 16-19,
    2021</i>. ACM; 2021:169-183. doi:<a href="https://doi.org/10.1145/3446871.3469757">10.1145/3446871.3469757</a>'
  apa: 'Große-Bölting, G., Gerstenberger, D. K.-H., Gildehaus, L., Mühling, A., &#38;
    Schulte, C. (2021). Identity in K-12 Computer Education Research: A Systematic
    Literature Review. In A. J. Ko, J. Vahrenhold, R. McCauley, &#38; M. Hauswirth
    (Eds.), <i>ICER 2021: ACM Conference on International Computing Education Research,
    Virtual Event, USA, August 16-19, 2021</i> (pp. 169–183). ACM. <a href="https://doi.org/10.1145/3446871.3469757">https://doi.org/10.1145/3446871.3469757</a>'
  bibtex: '@inproceedings{Große-Bölting_Gerstenberger_Gildehaus_Mühling_Schulte_2021,
    title={Identity in K-12 Computer Education Research: A Systematic Literature Review},
    DOI={<a href="https://doi.org/10.1145/3446871.3469757">10.1145/3446871.3469757</a>},
    booktitle={ICER 2021: ACM Conference on International Computing Education Research,
    Virtual Event, USA, August 16-19, 2021}, publisher={ACM}, author={Große-Bölting,
    Gregor and Gerstenberger, Dietrich Karl-Heinz and Gildehaus, Lara and Mühling,
    Andreas and Schulte, Carsten}, editor={J. Ko, Amy and Vahrenhold, Jan and McCauley,
    René and Hauswirth, Matthias}, year={2021}, pages={169–183} }'
  chicago: 'Große-Bölting, Gregor, Dietrich Karl-Heinz Gerstenberger, Lara Gildehaus,
    Andreas Mühling, and Carsten Schulte. “Identity in K-12 Computer Education Research:
    A Systematic Literature Review.” In <i>ICER 2021: ACM Conference on International
    Computing Education Research, Virtual Event, USA, August 16-19, 2021</i>, edited
    by Amy J. Ko, Jan Vahrenhold, René McCauley, and Matthias Hauswirth, 169–83. ACM,
    2021. <a href="https://doi.org/10.1145/3446871.3469757">https://doi.org/10.1145/3446871.3469757</a>.'
  ieee: 'G. Große-Bölting, D. K.-H. Gerstenberger, L. Gildehaus, A. Mühling, and C.
    Schulte, “Identity in K-12 Computer Education Research: A Systematic Literature
    Review,” in <i>ICER 2021: ACM Conference on International Computing Education
    Research, Virtual Event, USA, August 16-19, 2021</i>, 2021, pp. 169–183, doi:
    <a href="https://doi.org/10.1145/3446871.3469757">10.1145/3446871.3469757</a>.'
  mla: 'Große-Bölting, Gregor, et al. “Identity in K-12 Computer Education Research:
    A Systematic Literature Review.” <i>ICER 2021: ACM Conference on International
    Computing Education Research, Virtual Event, USA, August 16-19, 2021</i>, edited
    by Amy J. Ko et al., ACM, 2021, pp. 169–83, doi:<a href="https://doi.org/10.1145/3446871.3469757">10.1145/3446871.3469757</a>.'
  short: 'G. Große-Bölting, D.K.-H. Gerstenberger, L. Gildehaus, A. Mühling, C. Schulte,
    in: A. J. Ko, J. Vahrenhold, R. McCauley, M. Hauswirth (Eds.), ICER 2021: ACM
    Conference on International Computing Education Research, Virtual Event, USA,
    August 16-19, 2021, ACM, 2021, pp. 169–183.'
date_created: 2021-10-05T14:09:27Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3446871.3469757
editor:
- first_name: Amy
  full_name: J. Ko, Amy
  last_name: J. Ko
- first_name: Jan
  full_name: Vahrenhold, Jan
  last_name: Vahrenhold
- first_name: René
  full_name: McCauley, René
  last_name: McCauley
- first_name: Matthias
  full_name: Hauswirth, Matthias
  last_name: Hauswirth
language:
- iso: eng
page: 169-183
publication: 'ICER 2021: ACM Conference on International Computing Education Research,
  Virtual Event, USA, August 16-19, 2021'
publisher: ACM
status: public
title: 'Identity in K-12 Computer Education Research: A Systematic Literature Review'
type: conference
user_id: '21145'
year: '2021'
...
---
_id: '25527'
author:
- first_name: Carsten
  full_name: Schulte, Carsten
  id: '60311'
  last_name: Schulte
- first_name: Brett
  full_name: A. Becker, Brett
  last_name: A. Becker
citation:
  ama: Schulte C, A. Becker B. ITiCSE 2021 recap. <i>ACM SIGCSE Bull</i>. 2021;53(3):3-4.
    doi:<a href="https://doi.org/10.1145/3483403.3483405">10.1145/3483403.3483405</a>
  apa: Schulte, C., &#38; A. Becker, B. (2021). ITiCSE 2021 recap. <i>ACM SIGCSE Bull.</i>,
    <i>53</i>(3), 3–4. <a href="https://doi.org/10.1145/3483403.3483405">https://doi.org/10.1145/3483403.3483405</a>
  bibtex: '@article{Schulte_A. Becker_2021, title={ITiCSE 2021 recap}, volume={53},
    DOI={<a href="https://doi.org/10.1145/3483403.3483405">10.1145/3483403.3483405</a>},
    number={3}, journal={ACM SIGCSE Bull.}, author={Schulte, Carsten and A. Becker,
    Brett}, year={2021}, pages={3–4} }'
  chicago: 'Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” <i>ACM SIGCSE
    Bull.</i> 53, no. 3 (2021): 3–4. <a href="https://doi.org/10.1145/3483403.3483405">https://doi.org/10.1145/3483403.3483405</a>.'
  ieee: 'C. Schulte and B. A. Becker, “ITiCSE 2021 recap,” <i>ACM SIGCSE Bull.</i>,
    vol. 53, no. 3, pp. 3–4, 2021, doi: <a href="https://doi.org/10.1145/3483403.3483405">10.1145/3483403.3483405</a>.'
  mla: Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” <i>ACM SIGCSE Bull.</i>,
    vol. 53, no. 3, 2021, pp. 3–4, doi:<a href="https://doi.org/10.1145/3483403.3483405">10.1145/3483403.3483405</a>.
  short: C. Schulte, B. A. Becker, ACM SIGCSE Bull. 53 (2021) 3–4.
date_created: 2021-10-05T14:18:48Z
date_updated: 2022-01-06T06:57:06Z
department:
- _id: '67'
doi: 10.1145/3483403.3483405
intvolume: '        53'
issue: '3'
language:
- iso: eng
page: 3-4
publication: ACM SIGCSE Bull.
status: public
title: ITiCSE 2021 recap
type: journal_article
user_id: '21145'
volume: 53
year: '2021'
...
---
_id: '20115'
author:
- first_name: Gabriella
  full_name: Skitalinskaya, Gabriella
  last_name: Skitalinskaya
- first_name: Jonas
  full_name: Klaff, Jonas
  last_name: Klaff
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Skitalinskaya G, Klaff J, Wachsmuth H. Learning From Revisions: Quality Assessment
    of Claims in Argumentation at Scale. In: <i>Proceedings of the 16th Conference
    of the European Chapter of the Association for Computational Linguistics</i>.
    ; 2021:1718-1729.'
  apa: 'Skitalinskaya, G., Klaff, J., &#38; Wachsmuth, H. (2021). Learning From Revisions:
    Quality Assessment of Claims in Argumentation at Scale. In <i>Proceedings of the
    16th Conference of the European Chapter of the Association for Computational Linguistics</i>
    (pp. 1718–1729).'
  bibtex: '@inproceedings{Skitalinskaya_Klaff_Wachsmuth_2021, title={Learning From
    Revisions: Quality Assessment of Claims in Argumentation at Scale}, booktitle={Proceedings
    of the 16th Conference of the European Chapter of the Association for Computational
    Linguistics}, author={Skitalinskaya, Gabriella and Klaff, Jonas and Wachsmuth,
    Henning}, year={2021}, pages={1718–1729} }'
  chicago: 'Skitalinskaya, Gabriella, Jonas Klaff, and Henning Wachsmuth. “Learning
    From Revisions: Quality Assessment of Claims in Argumentation at Scale.” In <i>Proceedings
    of the 16th Conference of the European Chapter of the Association for Computational
    Linguistics</i>, 1718–29, 2021.'
  ieee: 'G. Skitalinskaya, J. Klaff, and H. Wachsmuth, “Learning From Revisions: Quality
    Assessment of Claims in Argumentation at Scale,” in <i>Proceedings of the 16th
    Conference of the European Chapter of the Association for Computational Linguistics</i>,
    2021, pp. 1718–1729.'
  mla: 'Skitalinskaya, Gabriella, et al. “Learning From Revisions: Quality Assessment
    of Claims in Argumentation at Scale.” <i>Proceedings of the 16th Conference of
    the European Chapter of the Association for Computational Linguistics</i>, 2021,
    pp. 1718–29.'
  short: 'G. Skitalinskaya, J. Klaff, H. Wachsmuth, in: Proceedings of the 16th Conference
    of the European Chapter of the Association for Computational Linguistics, 2021,
    pp. 1718–1729.'
date_created: 2020-10-16T12:39:27Z
date_updated: 2022-01-06T06:54:19Z
department:
- _id: '600'
language:
- iso: eng
main_file_link:
- url: https://www.aclweb.org/anthology/2021.eacl-main.147/
page: 1718-1729
publication: Proceedings of the 16th Conference of the European Chapter of the Association
  for Computational Linguistics
status: public
title: 'Learning From Revisions: Quality Assessment of Claims in Argumentation at
  Scale'
type: conference
user_id: '82920'
year: '2021'
...
---
_id: '20125'
abstract:
- lang: eng
  text: Datacenter applications have different resource requirements from network
    and developing flow scheduling heuristics for every workload is practically infeasible.
    In this paper, we show that deep reinforcement learning (RL) can be used to efficiently
    learn flow scheduling policies for different workloads without manual feature
    engineering. Specifically, we present LFS, which learns to optimize a high-level
    performance objective, e.g., maximize the number of flow admissions while meeting
    the deadlines. The LFS scheduler is trained through deep RL to learn a scheduling
    policy on continuous online flow arrivals. The evaluation results show that the
    trained LFS scheduler admits 1.05x more flows than the greedy flow scheduling
    heuristics under varying network load.
author:
- first_name: Asif
  full_name: Hasnain, Asif
  id: '63288'
  last_name: Hasnain
- first_name: Holger
  full_name: Karl, Holger
  id: '126'
  last_name: Karl
citation:
  ama: 'Hasnain A, Karl H. Learning Flow Scheduling. In: <i>2021 IEEE 18th Annual
    Consumer Communications &#38; Networking Conference (CCNC)</i>. IEEE Computer
    Society. doi:<a href="https://doi.org/10.1109/CCNC49032.2021.9369514">https://doi.org/10.1109/CCNC49032.2021.9369514</a>'
  apa: 'Hasnain, A., &#38; Karl, H. (n.d.). Learning Flow Scheduling. In <i>2021 IEEE
    18th Annual Consumer Communications &#38; Networking Conference (CCNC)</i>. Las
    Vegas, USA: IEEE Computer Society. <a href="https://doi.org/10.1109/CCNC49032.2021.9369514">https://doi.org/10.1109/CCNC49032.2021.9369514</a>'
  bibtex: '@inproceedings{Hasnain_Karl, title={Learning Flow Scheduling}, DOI={<a
    href="https://doi.org/10.1109/CCNC49032.2021.9369514">https://doi.org/10.1109/CCNC49032.2021.9369514</a>},
    booktitle={2021 IEEE 18th Annual Consumer Communications &#38; Networking Conference
    (CCNC)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger}
    }'
  chicago: Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” In <i>2021
    IEEE 18th Annual Consumer Communications &#38; Networking Conference (CCNC)</i>.
    IEEE Computer Society, n.d. <a href="https://doi.org/10.1109/CCNC49032.2021.9369514">https://doi.org/10.1109/CCNC49032.2021.9369514</a>.
  ieee: A. Hasnain and H. Karl, “Learning Flow Scheduling,” in <i>2021 IEEE 18th Annual
    Consumer Communications &#38; Networking Conference (CCNC)</i>, Las Vegas, USA.
  mla: Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” <i>2021 IEEE 18th
    Annual Consumer Communications &#38; Networking Conference (CCNC)</i>, IEEE Computer
    Society, doi:<a href="https://doi.org/10.1109/CCNC49032.2021.9369514">https://doi.org/10.1109/CCNC49032.2021.9369514</a>.
  short: 'A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications &#38;
    Networking Conference (CCNC), IEEE Computer Society, n.d.'
conference:
  end_date: 2021-01-12
  location: Las Vegas, USA
  name: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
  start_date: 2021-01-09
date_created: 2020-10-19T14:27:17Z
date_updated: 2022-01-06T06:54:20Z
ddc:
- '000'
department:
- _id: '75'
doi: https://doi.org/10.1109/CCNC49032.2021.9369514
keyword:
- Flow scheduling
- Deadlines
- Reinforcement learning
language:
- iso: eng
main_file_link:
- url: https://ieeexplore.ieee.org/document/9369514
project:
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '16'
  name: SFB 901 - Subproject C4
- _id: '1'
  name: SFB 901
publication: 2021 IEEE 18th Annual Consumer Communications & Networking Conference
  (CCNC)
publication_status: accepted
publisher: IEEE Computer Society
status: public
title: Learning Flow Scheduling
type: conference
user_id: '63288'
year: '2021'
...
---
_id: '20244'
author:
- first_name: Sebastian
  full_name: Gottschalk, Sebastian
  id: '47208'
  last_name: Gottschalk
- first_name: Jonas
  full_name: Kirchhoff, Jonas
  id: '39928'
  last_name: Kirchhoff
- first_name: Gregor
  full_name: Engels, Gregor
  id: '107'
  last_name: Engels
citation:
  ama: 'Gottschalk S, Kirchhoff J, Engels G. Extending Business Model Development
    Tools with Consolidated Expert Knowledge . In: Shishkov B, ed. <i>Business Modeling
    and Software Design</i>. ; 2021. doi:<a href="https://doi.org/10.1007/978-3-030-79976-2_1">10.1007/978-3-030-79976-2_1</a>'
  apa: Gottschalk, S., Kirchhoff, J., &#38; Engels, G. (2021). Extending Business
    Model Development Tools with Consolidated Expert Knowledge . In B. Shishkov (Ed.),
    <i>Business Modeling and Software Design</i>. Sofia. <a href="https://doi.org/10.1007/978-3-030-79976-2_1">https://doi.org/10.1007/978-3-030-79976-2_1</a>
  bibtex: '@inproceedings{Gottschalk_Kirchhoff_Engels_2021, title={Extending Business
    Model Development Tools with Consolidated Expert Knowledge }, DOI={<a href="https://doi.org/10.1007/978-3-030-79976-2_1">10.1007/978-3-030-79976-2_1</a>},
    booktitle={Business Modeling and Software Design}, author={Gottschalk, Sebastian
    and Kirchhoff, Jonas and Engels, Gregor}, editor={Shishkov, BorisEditor}, year={2021}
    }'
  chicago: Gottschalk, Sebastian, Jonas Kirchhoff, and Gregor Engels. “Extending Business
    Model Development Tools with Consolidated Expert Knowledge .” In <i>Business Modeling
    and Software Design</i>, edited by Boris Shishkov, 2021. <a href="https://doi.org/10.1007/978-3-030-79976-2_1">https://doi.org/10.1007/978-3-030-79976-2_1</a>.
  ieee: S. Gottschalk, J. Kirchhoff, and G. Engels, “Extending Business Model Development
    Tools with Consolidated Expert Knowledge ,” in <i>Business Modeling and Software
    Design</i>, Sofia, 2021.
  mla: Gottschalk, Sebastian, et al. “Extending Business Model Development Tools with
    Consolidated Expert Knowledge .” <i>Business Modeling and Software Design</i>,
    edited by Boris Shishkov, 2021, doi:<a href="https://doi.org/10.1007/978-3-030-79976-2_1">10.1007/978-3-030-79976-2_1</a>.
  short: 'S. Gottschalk, J. Kirchhoff, G. Engels, in: B. Shishkov (Ed.), Business
    Modeling and Software Design, 2021.'
conference:
  end_date: 2021-07-07
  location: Sofia
  name: International Symposium on Business Modeling and Software Design
  start_date: 2021-07-05
date_created: 2020-11-02T13:27:29Z
date_updated: 2022-01-06T06:54:25Z
ddc:
- '000'
department:
- _id: '66'
- _id: '534'
doi: 10.1007/978-3-030-79976-2_1
editor:
- first_name: Boris
  full_name: Shishkov, Boris
  last_name: Shishkov
file:
- access_level: open_access
  content_type: application/pdf
  creator: sego
  date_created: 2021-07-20T16:17:55Z
  date_updated: 2021-07-20T16:19:56Z
  file_id: '22768'
  file_name: BMSD21.pdf
  file_size: 1101782
  relation: main_file
file_date_updated: 2021-07-20T16:19:56Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '1'
  name: SFB 901
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '17'
  name: SFB 901 - Subproject C5
publication: Business Modeling and Software Design
status: public
title: 'Extending Business Model Development Tools with Consolidated Expert Knowledge '
type: conference
user_id: '47208'
year: '2021'
...
---
_id: '28099'
abstract:
- lang: eng
  text: N-body methods are one of the essential algorithmic building blocks of high-performance
    and parallel computing. Previous research has shown promising performance for
    implementing n-body simulations with pairwise force calculations on FPGAs. However,
    to avoid challenges with accumulation and memory access patterns, the presented
    designs calculate each pair of forces twice, along with both force sums of the
    involved particles. Also, they require large problem instances with hundreds of
    thousands of particles to reach their respective peak performance, limiting the
    applicability for strong scaling scenarios. This work addresses both issues by
    presenting a novel FPGA design that uses each calculated force twice and overlaps
    data transfers and computations in a way that allows to reach peak performance
    even for small problem instances, outperforming previous single precision results
    even in double precision, and scaling linearly over multiple interconnected FPGAs.
    For a comparison across architectures, we provide an equally optimized CPU reference,
    which for large problems actually achieves higher peak performance per device,
    however, given the strong scaling advantages of the FPGA design, in parallel setups
    with few thousand particles per device, the FPGA platform achieves highest performance
    and power efficiency.
article_type: original
author:
- first_name: Johannes
  full_name: Menzel, Johannes
  last_name: Menzel
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
- first_name: Tobias
  full_name: Kenter, Tobias
  id: '3145'
  last_name: Kenter
citation:
  ama: Menzel J, Plessl C, Kenter T. The Strong Scaling Advantage of FPGAs in HPC
    for N-body Simulations. <i>ACM Transactions on Reconfigurable Technology and Systems</i>.
    2021;15(1):1-30. doi:<a href="https://doi.org/10.1145/3491235">10.1145/3491235</a>
  apa: Menzel, J., Plessl, C., &#38; Kenter, T. (2021). The Strong Scaling Advantage
    of FPGAs in HPC for N-body Simulations. <i>ACM Transactions on Reconfigurable
    Technology and Systems</i>, <i>15</i>(1), 1–30. <a href="https://doi.org/10.1145/3491235">https://doi.org/10.1145/3491235</a>
  bibtex: '@article{Menzel_Plessl_Kenter_2021, title={The Strong Scaling Advantage
    of FPGAs in HPC for N-body Simulations}, volume={15}, DOI={<a href="https://doi.org/10.1145/3491235">10.1145/3491235</a>},
    number={1}, journal={ACM Transactions on Reconfigurable Technology and Systems},
    author={Menzel, Johannes and Plessl, Christian and Kenter, Tobias}, year={2021},
    pages={1–30} }'
  chicago: 'Menzel, Johannes, Christian Plessl, and Tobias Kenter. “The Strong Scaling
    Advantage of FPGAs in HPC for N-Body Simulations.” <i>ACM Transactions on Reconfigurable
    Technology and Systems</i> 15, no. 1 (2021): 1–30. <a href="https://doi.org/10.1145/3491235">https://doi.org/10.1145/3491235</a>.'
  ieee: 'J. Menzel, C. Plessl, and T. Kenter, “The Strong Scaling Advantage of FPGAs
    in HPC for N-body Simulations,” <i>ACM Transactions on Reconfigurable Technology
    and Systems</i>, vol. 15, no. 1, pp. 1–30, 2021, doi: <a href="https://doi.org/10.1145/3491235">10.1145/3491235</a>.'
  mla: Menzel, Johannes, et al. “The Strong Scaling Advantage of FPGAs in HPC for
    N-Body Simulations.” <i>ACM Transactions on Reconfigurable Technology and Systems</i>,
    vol. 15, no. 1, 2021, pp. 1–30, doi:<a href="https://doi.org/10.1145/3491235">10.1145/3491235</a>.
  short: J. Menzel, C. Plessl, T. Kenter, ACM Transactions on Reconfigurable Technology
    and Systems 15 (2021) 1–30.
date_created: 2021-11-30T10:00:31Z
date_updated: 2022-01-06T06:57:51Z
department:
- _id: '27'
- _id: '518'
doi: 10.1145/3491235
intvolume: '        15'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://dl.acm.org/doi/10.1145/3491235
oa: '1'
page: 1-30
publication: ACM Transactions on Reconfigurable Technology and Systems
publication_identifier:
  issn:
  - 1936-7406
  - 1936-7414
publication_status: published
quality_controlled: '1'
status: public
title: The Strong Scaling Advantage of FPGAs in HPC for N-body Simulations
type: journal_article
user_id: '3145'
volume: 15
year: '2021'
...
---
_id: '28350'
abstract:
- lang: eng
  text: "In recent years, we observe an increasing amount of software with machine
    learning components being deployed. This poses the question of quality assurance
    for such components: how can we validate whether specified requirements are fulfilled
    by a machine learned software? Current testing and verification approaches either
    focus on a single requirement (e.g., fairness) or specialize on a single type
    of machine learning model (e.g., neural networks).\r\nIn this paper, we propose
    property-driven testing of machine learning models. Our approach MLCheck encompasses
    (1) a language for property specification, and (2) a technique for systematic
    test case generation. The specification language is comparable to property-based
    testing languages. Test case generation employs advanced verification technology
    for a systematic, property dependent construction of test suites, without additional
    user supplied generator functions. We evaluate MLCheck using requirements and
    data sets from three different application areas (software\r\ndiscrimination,
    learning on knowledge graphs and security). Our evaluation shows that despite
    its generality MLCheck can even outperform specialised testing approaches while
    having a comparable runtime"
author:
- first_name: Arnab
  full_name: Sharma, Arnab
  id: '67200'
  last_name: Sharma
- first_name: Caglar
  full_name: Demir, Caglar
  id: '43817'
  last_name: Demir
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
- first_name: Heike
  full_name: Wehrheim, Heike
  id: '573'
  last_name: Wehrheim
citation:
  ama: 'Sharma A, Demir C, Ngonga Ngomo A-C, Wehrheim H. MLCHECK–Property-Driven Testing
    of Machine Learning Classifiers. In: <i>Proceedings of the 20th IEEE International
    Conference on Machine Learning and Applications (ICMLA)</i>. IEEE.'
  apa: Sharma, A., Demir, C., Ngonga Ngomo, A.-C., &#38; Wehrheim, H. (n.d.). MLCHECK–Property-Driven
    Testing of Machine Learning Classifiers. <i>Proceedings of the 20th IEEE International
    Conference on Machine Learning and Applications (ICMLA)</i>.
  bibtex: '@inproceedings{Sharma_Demir_Ngonga Ngomo_Wehrheim, title={MLCHECK–Property-Driven
    Testing of Machine Learning Classifiers}, booktitle={Proceedings of the 20th IEEE
    International Conference on Machine Learning and Applications (ICMLA)}, publisher={IEEE},
    author={Sharma, Arnab and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille and Wehrheim,
    Heike} }'
  chicago: Sharma, Arnab, Caglar Demir, Axel-Cyrille Ngonga Ngomo, and Heike Wehrheim.
    “MLCHECK–Property-Driven Testing of Machine Learning Classifiers.” In <i>Proceedings
    of the 20th IEEE International Conference on Machine Learning and Applications
    (ICMLA)</i>. IEEE, n.d.
  ieee: A. Sharma, C. Demir, A.-C. Ngonga Ngomo, and H. Wehrheim, “MLCHECK–Property-Driven
    Testing of Machine Learning Classifiers.”
  mla: Sharma, Arnab, et al. “MLCHECK–Property-Driven Testing of Machine Learning
    Classifiers.” <i>Proceedings of the 20th IEEE International Conference on Machine
    Learning and Applications (ICMLA)</i>, IEEE.
  short: 'A. Sharma, C. Demir, A.-C. Ngonga Ngomo, H. Wehrheim, in: Proceedings of
    the 20th IEEE International Conference on Machine Learning and Applications (ICMLA),
    IEEE, n.d.'
date_created: 2021-12-07T11:11:36Z
date_updated: 2022-01-06T06:58:02Z
department:
- _id: '7'
- _id: '77'
- _id: '574'
language:
- iso: eng
project:
- _id: '1'
  name: SFB 901
- _id: '3'
  name: SFB 901 - Project Area B
- _id: '11'
  name: SFB 901 - Subproject B3
- _id: '10'
  name: SFB 901 - Subproject B2
publication: Proceedings of the 20th IEEE International Conference on Machine Learning
  and Applications (ICMLA)
publication_status: accepted
publisher: IEEE
status: public
title: MLCHECK–Property-Driven Testing of Machine Learning Classifiers
type: conference
user_id: '477'
year: '2021'
...
---
_id: '24143'
author:
- first_name: Jan Peter
  full_name: Drees, Jan Peter
  last_name: Drees
- first_name: Pritha
  full_name: Gupta, Pritha
  id: '54803'
  last_name: Gupta
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  id: '48129'
  last_name: Hüllermeier
- first_name: Tibor
  full_name: Jager, Tibor
  last_name: Jager
- first_name: Alexander
  full_name: Konze, Alexander
  last_name: Konze
- first_name: Claudia
  full_name: Priesterjahn, Claudia
  last_name: Priesterjahn
- first_name: Arunselvan
  full_name: Ramaswamy, Arunselvan
  id: '66937'
  last_name: Ramaswamy
  orcid: https://orcid.org/ 0000-0001-7547-8111
- first_name: Juraj
  full_name: Somorovsky, Juraj
  id: '83504'
  last_name: Somorovsky
  orcid: 0000-0002-3593-7720
citation:
  ama: 'Drees JP, Gupta P, Hüllermeier E, et al. Automated Detection of Side Channels
    in Cryptographic Protocols: DROWN the ROBOTs! <i>14th ACM Workshop on Artificial
    Intelligence and Security</i>. Published online 2021.'
  apa: 'Drees, J. P., Gupta, P., Hüllermeier, E., Jager, T., Konze, A., Priesterjahn,
    C., Ramaswamy, A., &#38; Somorovsky, J. (2021). Automated Detection of Side Channels
    in Cryptographic Protocols: DROWN the ROBOTs! <i>14th ACM Workshop on Artificial
    Intelligence and Security</i>.'
  bibtex: '@article{Drees_Gupta_Hüllermeier_Jager_Konze_Priesterjahn_Ramaswamy_Somorovsky_2021,
    title={Automated Detection of Side Channels in Cryptographic Protocols: DROWN
    the ROBOTs!}, journal={14th ACM Workshop on Artificial Intelligence and Security},
    author={Drees, Jan Peter and Gupta, Pritha and Hüllermeier, Eyke and Jager, Tibor
    and Konze, Alexander and Priesterjahn, Claudia and Ramaswamy, Arunselvan and Somorovsky,
    Juraj}, year={2021} }'
  chicago: 'Drees, Jan Peter, Pritha Gupta, Eyke Hüllermeier, Tibor Jager, Alexander
    Konze, Claudia Priesterjahn, Arunselvan Ramaswamy, and Juraj Somorovsky. “Automated
    Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!” <i>14th
    ACM Workshop on Artificial Intelligence and Security</i>, 2021.'
  ieee: 'J. P. Drees <i>et al.</i>, “Automated Detection of Side Channels in Cryptographic
    Protocols: DROWN the ROBOTs!,” <i>14th ACM Workshop on Artificial Intelligence
    and Security</i>, 2021.'
  mla: 'Drees, Jan Peter, et al. “Automated Detection of Side Channels in Cryptographic
    Protocols: DROWN the ROBOTs!” <i>14th ACM Workshop on Artificial Intelligence
    and Security</i>, 2021.'
  short: J.P. Drees, P. Gupta, E. Hüllermeier, T. Jager, A. Konze, C. Priesterjahn,
    A. Ramaswamy, J. Somorovsky, 14th ACM Workshop on Artificial Intelligence and
    Security (2021).
date_created: 2021-09-10T09:56:27Z
date_updated: 2022-01-06T06:56:08Z
department:
- _id: '632'
language:
- iso: eng
publication: 14th ACM Workshop on Artificial Intelligence and Security
status: public
title: 'Automated Detection of Side Channels in Cryptographic Protocols: DROWN the
  ROBOTs!'
type: journal_article
user_id: '83504'
year: '2021'
...
---
_id: '24382'
author:
- first_name: Karina
  full_name: Gevers, Karina
  id: '83151'
  last_name: Gevers
- first_name: Volker
  full_name: Schöppner, Volker
  id: '20530'
  last_name: Schöppner
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
citation:
  ama: 'Gevers K, Schöppner V, Hüllermeier E. Heated tool butt welding of two different
    materials –  Established methods versus artificial intelligence. In: ; 2021.'
  apa: Gevers, K., Schöppner, V., &#38; Hüllermeier, E. (2021). <i>Heated tool butt
    welding of two different materials –  Established methods versus artificial intelligence</i>.
    International Institute of Welding, online.
  bibtex: '@inproceedings{Gevers_Schöppner_Hüllermeier_2021, title={Heated tool butt
    welding of two different materials –  Established methods versus artificial intelligence},
    author={Gevers, Karina and Schöppner, Volker and Hüllermeier, Eyke}, year={2021}
    }'
  chicago: Gevers, Karina, Volker Schöppner, and Eyke Hüllermeier. “Heated Tool Butt
    Welding of Two Different Materials –  Established Methods versus Artificial Intelligence,”
    2021.
  ieee: K. Gevers, V. Schöppner, and E. Hüllermeier, “Heated tool butt welding of
    two different materials –  Established methods versus artificial intelligence,”
    presented at the International Institute of Welding, online, 2021.
  mla: Gevers, Karina, et al. <i>Heated Tool Butt Welding of Two Different Materials
    –  Established Methods versus Artificial Intelligence</i>. 2021.
  short: 'K. Gevers, V. Schöppner, E. Hüllermeier, in: 2021.'
conference:
  end_date: 2021-07-14
  location: online
  name: International Institute of Welding
  start_date: 2021-07-12
date_created: 2021-09-14T11:34:31Z
date_updated: 2022-01-06T06:56:19Z
department:
- _id: '367'
- _id: '355'
- _id: '321'
language:
- iso: eng
status: public
title: Heated tool butt welding of two different materials –  Established methods
  versus artificial intelligence
type: conference
user_id: '83151'
year: '2021'
...
---
_id: '24719'
author:
- first_name: Hamada
  full_name: M. Zahera, Hamada
  last_name: M. Zahera
- first_name: Rricha
  full_name: Jalota, Rricha
  last_name: Jalota
- first_name: Mohamed
  full_name: Ahmed Sherif, Mohamed
  last_name: Ahmed Sherif
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'M. Zahera H, Jalota R, Ahmed Sherif M, Ngonga Ngomo A-C. I-AID: Identifying
    Actionable Information From Disaster-Related Tweets. <i>{IEEE} Access</i>. 2021;9:118861-118870.
    doi:<a href="https://doi.org/10.1109/ACCESS.2021.3107812">10.1109/ACCESS.2021.3107812</a>'
  apa: 'M. Zahera, H., Jalota, R., Ahmed Sherif, M., &#38; Ngonga Ngomo, A.-C. (2021).
    I-AID: Identifying Actionable Information From Disaster-Related Tweets. <i>{IEEE}
    Access</i>, <i>9</i>, 118861–118870. <a href="https://doi.org/10.1109/ACCESS.2021.3107812">https://doi.org/10.1109/ACCESS.2021.3107812</a>'
  bibtex: '@article{M. Zahera_Jalota_Ahmed Sherif_Ngonga Ngomo_2021, title={I-AID:
    Identifying Actionable Information From Disaster-Related Tweets}, volume={9},
    DOI={<a href="https://doi.org/10.1109/ACCESS.2021.3107812">10.1109/ACCESS.2021.3107812</a>},
    journal={{IEEE} Access}, author={M. Zahera, Hamada and Jalota, Rricha and Ahmed
    Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2021}, pages={118861–118870}
    }'
  chicago: 'M. Zahera, Hamada, Rricha Jalota, Mohamed Ahmed Sherif, and Axel-Cyrille
    Ngonga Ngomo. “I-AID: Identifying Actionable Information From Disaster-Related
    Tweets.” <i>{IEEE} Access</i> 9 (2021): 118861–70. <a href="https://doi.org/10.1109/ACCESS.2021.3107812">https://doi.org/10.1109/ACCESS.2021.3107812</a>.'
  ieee: 'H. M. Zahera, R. Jalota, M. Ahmed Sherif, and A.-C. Ngonga Ngomo, “I-AID:
    Identifying Actionable Information From Disaster-Related Tweets,” <i>{IEEE} Access</i>,
    vol. 9, pp. 118861–118870, 2021, doi: <a href="https://doi.org/10.1109/ACCESS.2021.3107812">10.1109/ACCESS.2021.3107812</a>.'
  mla: 'M. Zahera, Hamada, et al. “I-AID: Identifying Actionable Information From
    Disaster-Related Tweets.” <i>{IEEE} Access</i>, vol. 9, 2021, pp. 118861–70, doi:<a
    href="https://doi.org/10.1109/ACCESS.2021.3107812">10.1109/ACCESS.2021.3107812</a>.'
  short: H. M. Zahera, R. Jalota, M. Ahmed Sherif, A.-C. Ngonga Ngomo, {IEEE} Access
    9 (2021) 118861–118870.
date_created: 2021-09-20T13:01:18Z
date_updated: 2022-01-06T06:56:32Z
department:
- _id: '574'
doi: 10.1109/ACCESS.2021.3107812
intvolume: '         9'
language:
- iso: eng
page: 118861-118870
publication: '{IEEE} Access'
status: public
title: 'I-AID: Identifying Actionable Information From Disaster-Related Tweets'
type: journal_article
user_id: '65716'
volume: 9
year: '2021'
...
